Presentation | 2012-11-07 Structure Learning for Anomaly Localization Satoshi HARA, Takashi WASHIO, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a graphical model learning algorithm for an anomaly localization. We introduce a new regularization term that penalizes the row/column-wise difference between two precision matrices and formulate the task as a convex optimization problem. We further provide an optimization algorithm based on an alternating direction method. The validity of the proposed method is presented through a simulation using a real world data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Anomaly Localization / Graphical Gaussian Model / Alternating Direction Method of Multipliers |
Paper # | IBISML2012-36 |
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Committee | IBISML |
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Conference Date | 2012/10/31(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Structure Learning for Anomaly Localization |
Sub Title (in English) | |
Keyword(1) | Anomaly Localization |
Keyword(2) | Graphical Gaussian Model |
Keyword(3) | Alternating Direction Method of Multipliers |
1st Author's Name | Satoshi HARA |
1st Author's Affiliation | The Institute of Scientific and Industrial Research (ISIR), Osaka University() |
2nd Author's Name | Takashi WASHIO |
2nd Author's Affiliation | The Institute of Scientific and Industrial Research (ISIR), Osaka University |
Date | 2012-11-07 |
Paper # | IBISML2012-36 |
Volume (vol) | vol.112 |
Number (no) | 279 |
Page | pp.pp.- |
#Pages | 6 |
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